Modeling Data Governance

© 2016 IDERA, Inc. All rights reserved.
Proprietary and confidential.
.
MODELING DATA GOVERNANCE
Presented by Kim Brushaber, Senior Product Manager at IDERA

“
War is 90% information
- Napoleon Bonaparte

“
Without data, you’re just another person with an
opinion
- W Edwards Deming

WHAT IS DATA GOVERNANCE?

© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.© 2018 IDERA, Inc. All rights reserved.
DATA GOVERNANCE IS THE FINE ART OF
▪ Defining Your Data
▪ Modeling Your Data
▪ Ensuring the Quality of Your Data
▪ Tracking Your Data
▪ Knowing Who Is Accessing Your Data
▪ Protecting Your Data
▪ Meeting Your Regulation Guidelines

REGULATORY STANDARDS IMPACTING DATA
GOVERNANCE
▪ Basel I, II and III (Banking)
▪ CGMP (Goods Manufacturing)
▪ CIS (Security)
▪ DISA/STIG (Security)
▪ FERPA (Family Rights)
▪ FISMA (Federal Agencies)
▪ GLBA (Finance)
▪ GDPR (Data Protection – EU)
▪ HIPAA (Healthcare)
▪ ISO (Security)
▪ NERC CIP (Electricity)
▪ PIPEDA (Data Protection – Canada)
▪ PCI (Payment Cards)
▪ SOX (Accounting and Finance)

“
Data is not information, information is not
knowledge, knowledge is not understanding,
understanding is not wisdom
- Clifford Stoll, American Astronomer

“
If we have data, let’s look at data. If all we have are
opinions, let’s go with mine.
- Jim Barksdale, former Netscape CEO

HOW PROCESS MODELING CAN HELP

SPEAKING DIFFERENT LANGUAGES
BUSINESS JARGON TECHNICAL JARGON

LET’S IMAGINE A DOG GROOMING STUDIO
Fluffy Paws, Dog Grooming Studio is the perfect place to bring your special
fur babies. We know how important your dog is to you and we want to
ensure that they are treated like the prince and princesses that they are. We
offer baths, nail trimming, hair cuts, de-shedding and flea treatments.

DID YOU IMAGINE THIS PICTURE?

OR THIS?

OR MAYBE THIS?

PICTURES AREN’T JUST WORTH 1000 WORDS
▪ They enhance the story
▪ They communicate a vision
▪ They can be language/jargon agnostic
▪ They clarify the points you are trying to make
So why not use pictures instead of words when describing a business?

AN EXAMPLE IN REQUIREMENTS GATHERING
A client has said “I need an application that will help me run my Dog
Grooming Studio”
▪ The application needs to:
• Schedule Appointments
• Check In / Check Out Dogs
• Charge the Customer

AS A GOOD DEVELOPER YOU MAY THINK
APPOINTMENTS
▪ How is an appointment
scheduled?
▪ What information is needed for the
appointment?
▪ What kinds of services are
offered?
▪ What information do we want to
capture on the dog?
▪ What information do we want to
capture on the owner?
▪ Do we want to retain the
information for recurring
customers?
CHECK IN / CHECK OUT
▪ How do I check in/ check out the
dogs?
▪ How do I bill the customer?
▪ Are there specials? Or coupons?
▪ Do we want to give paper receipts
or emails?
▪ Do we want to contact the
customer later?
▪ Do we want to track information to
understand the business
analytics?

CUSTOMERS RESPONSES MAY VARY
▪ They may give you no information
• You’re the expert, you’re supposed to figure this out
▪ They may give you vague information
• Simply respond to your questions but give you no additional information
▪ They may give you too much information
• Technical manuals or 100 page business requirements that go into
painful detail about everything you need to know and a whole lot you
don’t.
Pictures allow you to easily communicate and interact with your not-so-
technical boss, coworkers or clients.

BASIC GROOMING BUSINESS PROCESS
* Business Process Models created using IDERA’s ER/Studio Business Architect

SCHEDULE APPOINTMENT – DETAILED PROCESS

BUSINESS PROCESS MODELS (PICTURES) CAN SAVE THE
DAY
▪ And sometimes make us smile!

“
Without big data analytics, companies are blind
and deaf, wandering out onto the Web like a deer
on a freeway.
- Geoffrey Moore

“
Data that sits unused is no different from data that
was never collected in the first place
- Doug Fisher

WHAT DOES THIS HAVE TO DO WITH
DATA GOVERNANCE?

REMINDER (AFTER THE DOGGIE DISTRACTION)
Data Governance involves:
▪ Defining Your Data
▪ Modeling Your Data
▪ Ensuring the Quality of Your Data
▪ Tracking Your Data
▪ Knowing Who Is Accessing Your Data
▪ Protecting Your Data
▪ Meeting Your Regulation Guidelines

DEFINING YOUR DATA
▪ How do you define your data elements?
▪ Are your definitions consistent across the organization?
▪ What is the lexicon and jargon that you use?
▪ How is your data mapped to other systems?

DATA DEFINITION PROCESS

DATA MAPPING EXAMPLE

MODELING YOUR DATA
▪ What does your data look like?
▪ How many fields/tables are you capturing?
▪ Which of your data is informational?
▪ Which of your data is used purely by the system?
▪ What metadata do you capture?
▪ Can you consolidate redundant data?
▪ Which of your data is sensitive / protected?

DATA MODELING PROCESS

DATA BUCKETING EXAMPLE

ENSURING QUALITY OF YOUR DATA
▪ How do you measure the quality of your data?
▪ What is the current condition of your data?
▪ Are there any places where data may be unreliable?
▪ How accurate does your data need to be?
▪ How do you identify that there is an issue with your data?
▪ How do you fix data that may be inaccurate?
▪ How do we create parameters that are consistent and repeatable?

DATA QUALITY PROCESS

FIXING INCORRECT DATA

TRACKING YOUR DATA
▪ Where does your data go?
▪ When does the data come into your system?
▪ Where does your data leave the system?
▪ What can the data be used for?
▪ What does the data create and what does it consume?
▪ What rules does your data follow?

DATA TRACKING PROCESS

ORDER TRACKING

KNOWING WHO IS ACCESSING YOUR DATA
▪ Who can access your data?
▪ Who can influence your data?
▪ Do they have full access or can they just access some of the data?
▪ Do they have read access or can they update the data?
▪ How is your data stored?

DATA ACCESS PROCESS

DEFINING WHO CAN ACCESS WHICH DATA

HOW DATA IS ARCHIVED

PROTECTING YOUR DATA
▪ How is your data protected?
▪ Is your data encrypted/masked?
▪ What do you do in the case of a data breach?

DATA PROTECTION

GDPR DATA PROTECTION

DATA BREACH STEPS

MEETING YOUR REGULATION GUIDELINES
▪ What Guidelines do you have to meet?
▪ How is your data impacted by those guidelines?
▪ What do the guidelines require you to do?

DATA COMPLIANCE

GDPR EXAMPLE

IN CONCLUSION
▪ It’s important to define your Data Governance Processes so everyone is
on the same page
▪ A good Data Governance will help you demonstrate compliance for those
pesky regulations
▪ Business Process Models (Pictures) can make collaboration easier

THANKS!
Any questions?
You can find me on Twitter via:
Kim Brushaber
@Brushaber_IDERA

Modeling Data Governance

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